Model development through which computers can simulate the evolution of artificial and natural systems is fundamental for the advancement of Science. In the last decades, the increasing power of computers has allowed to considerably extend the application of computing methodologies in research and industry, but also to the quantitative study of complex systems. This has permitted a broad application of numerical methods for differential equation systems (e.g., FEM, FDM, PIC, etc.) on one hand, and the application of alternative computational paradigms, such as Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence, etc., on the other. These latter have demonstrated their effectiveness for modelling purposes when traditional simulation methodologies have proven to be impracticable due to space and/or time constraints. 

An important mission of the HPCMS Workshop now at its eleventh year at PDP – is to provide a platform for a multidisciplinary community composed of scholars, researchers, developers, educators, practitioners and experts from world leading Universities, Institutions, Agencies and Companies in Computational Science. HPCMS intent is to thus offer an opportunity to express and confront views on trends, challenges, and state-of-the art in computational problems and high-performance computing, related to areas in engineering, physics, chemistry, biology, geology, medicine, ecology, sociology, traffic control, economy, etc.

– High Performance Computing in computational science: intra-disciplinary and multi-disciplinary research applications

– Complex systems modelling and simulation

– Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence implementations

– Integrated approach to optimization and simulation

– MPI, OpenMP, Sycl and CUDA applications in Computational Science

– Optimization algorithms, modelling techniques related to optimization in Computational Science

– High-performance Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems

– Performance models and their integration into the design of efficient parallel algorithms for heterogeneous platforms

– Hardware approaches (e.g., FPGAs, Neuromorphic computing, etc) of high performance computing in modeling and simulation

DEADLINE Paper submission: 15 November 2024

Acceptance notification: 10 December 2024

Camera ready due: 27 January 2025

Conference: 12 – 14 March 2025

Authors should submit a full paper not exceeding 8 pages in the IEEE Conference proceedings format (IEEEtran, double-column, 10pt) and follow format guidelines found at https://www.ieee.org/conferences/publishing/templates.html.

Submissions should be made through the CMT system at: https://cmt3.research.microsoft.com/PDP2025/Submission/Index and choosing the HPCMS workshop under the “Add New Submission” tab.

Double-bind review: the first page of the paper should contain only the title and abstract; in the reference list, references to the authors own work should appear as “omitted for blind review” entries. 

William Spataro, University of Calabria, Italy

Giuseppe A. Trunfio – University of Sassari, Italy

Donato D’Ambrosio – University of Calabria, Italy

Rocco Rongo – University of Calabria, Italy

Andrea Giordano – ICAR-CNR, Italy

Gladys Utrera, Universitat Politecnica de Catalunya. Barcelona, Spain

Antisthenis Tsompanas, University of the West of England, UK

Rocco Rongo, University of Calabria, Italy

Georgios Sirakoulis, Democritus University of Thrace, Greece

William Spataro, University of Calabria, Italy

Giuseppe A. Trunfio, University of Sassari, Italy

Marco Villani, University of Modena and Reggio Emilia, Italy

Jaroslaw Was, AGH University of Science and Technology, Poland

Davide Spataro, University of Science and Technology, Poland

Gianluigi Folino, ICAR-CNR, Italy

Lou D’Alotto, York College/CUNY, New York, USA

Ioakeim Georgoudas, Democritus University of Thrace, Greece

Marco Beccutti, University of Torino, Italy

Marisa Gil, Universitat Politecnica de Catalunya, Spain

Yaroslav Sergeyev, University of Calabria, Italy

Donato D’Ambrosio – University of Calabria, Italy

Rocco Rongo – University of Calabria, Italy

Andrea Giordano – ICAR-CNR, Italy